Jin Won Lee

Title: Innovations of Jin Won Lee

Introduction

Jin Won Lee is a prominent inventor based in San Diego, California. He has made significant contributions to the field of artificial intelligence and machine learning, holding a total of 18 patents. His work focuses on enhancing the efficiency and capabilities of neural networks and machine learning models.

Latest Patents

One of Jin Won Lee's latest patents is titled "Depth-first deep convolutional neural network inference." This patent describes a method performed by a computing device that includes determining a partition for depth-first processing by a multi-layer artificial neural network (ANN). The method involves processing an input using depth-first processing in accordance with the partition, optimizing the use of on-chip and off-chip memory. Another notable patent is "Gradient pruning for efficient training of machine learning models." This patent outlines techniques for improved machine learning through gradient pruning, which includes computing a gradient tensor and updating parameters based on identified subsets of gradients.

Career Highlights

Jin Won Lee is currently employed at Qualcomm Incorporated, a leading technology company known for its innovations in telecommunications and semiconductor technology. His work at Qualcomm has allowed him to push the boundaries of machine learning and artificial intelligence applications.

Collaborations

Throughout his career, Jin has collaborated with talented individuals such as Shankar Sadasivam and Li Ding, who contribute to the innovative environment at Qualcomm.

Conclusion

Jin Won Lee's contributions to the field of artificial intelligence and machine learning are noteworthy, as evidenced by his numerous patents and collaborations. His work continues to influence advancements in technology and innovation.